Page 17 - Winter 2020
P. 17

Acknowledgments
I thank Arthur N. Popper for all his insight and feedback in developing the manuscript. I also thank my loving wife Janelle for all her support, which I would not be able to do without. Moreover, I acknowledge the love and support of my family and friends, Sabina Macy for helping me with editing, and
Venus Larson, both keeping me from losing my mind.
References
Ahrens, J., Rabenstein, R., and Spors, S. (2014). Sound field synthesis for audio presentation. Acoustics Today 10(2), 15-25.
Atema, J. (2014). Musical origins and the Stone Age evolution of flutes. Acoustics Today 10(3), 25-34.
Bianco, M. J., Gerstoft, P., Traer, J., Ozanich, E., Roch, M. A., Gannot, S., and Deledalle, C. A. (2019). Machine learning in acoustics: Theory and applications. The Journal of the Acoustical Society of America 146, 3590-3628. https://doi.org/10.1121/1.5133944.
Blanc-Benon, P., Lipkens, B., Dallois, L., Hamilton, M. F., and Blackstock, D. T. (2002). Propagation of finite amplitude sound through turbulence: Modeling with geometrical acoustics and the parabolic approximation. The Journal of the Acoustical Society of America 111, 487-498.
Botteldooren, D. (1994). Acoustical finite-difference time-domain sim- ulation in a quasi-Cartesian grid. The Journal of the Acoustical Society of America 95, 2313-2319. https://doi.org/10.1121/1.409866.
Bruce, I. C. (2017). Physiologically based predictors of speech intel- ligibility. Acoustics Today 13(1), 28-35.
Bunting, G., Dohrmann, C. R., Miller, S. T., and Walsh, T. F. (2020). Solv- ing complex acoustic problems using high-performance computations.
Acoustics Today 16(2), 22-30. https://doi.org/10.1121/AT.2020.16.2.22. Burkatovskaya, Y. B., Belov, V. V., Krasnenko, N. P., Shamanaeva, L. G., and
Khaustov, P. A. (2016). Monte Carlo method in atmospheric acoustics. Pro- ceedings of the International Multi-Conference of Engineers and Computer Scientists 2016 Vol II, IMECS 2016, Hong Kong, March 16-18, 2016.
Burnett,D.S.(2015).Computersimulationforpredictingacousticscattering from objects at the bottom of the ocean. Acoustics Today, 11(1), 28-36.
Candy, J. V. (2008). Signal processing in acoustics: Science or science fiction? Acoustics Today 4(3), 6-15.
Chu, D., and Eastland, G. C. (2014). Calibration of a broadband acoustic transducer with a standard spherical target in nearfield. The Journal of the Acoustical Society of America 137, 2148-2157.
Declercq, N. F., Degrieck, J., Briers, R., and Leroy, O. (2004). A theo- retical study of special acoustic effects caused by the staircase of the El Castillo pyramid at the Maya ruins of Chichen-Itza in Mexico. The Journal of the Acoustical Society of America 116, 3328-3335. https://doi.org/10.1121/1.1764833.
Duda, T., Bonnel, J., and Heaney, K. D. (2019). Computational acoustics in oceanography: The research roles of sound field simulations. Acous- tics Today 15(3), 28-37. https://doi.org/10.1121/AT.2019.15.3.28.
Everstine, G. C., and Henderson, F. M. (1990). Coupled finite element/ boundary element approach for fluid-structure interaction. The Jour- nal of the Acoustical Society of America 87, 1938-1947. https://doi.org/10.1121/1.399320.
Faran, J. J., Jr. (1951). Sound scattering by solid cylinders and spheres. The Journal of the Acoustical Society of America 23, 405-418.
Gao, H., Shen, Yuchen, Feng, X. and Shen, Yong (2020). Sound field synthesis of arbitrary moving sources using spectral division method. The Journal of the Acoustical Society of America 148, EL247-EL252. https://doi.org/10.1121/10.0001944.
Greenberg, S. (2018). Deep language learning. Acoustics Today 14(4), 19-27. Hambric, S. A., and Fahnline, J. B. (2007). Structural acoustics tuto-
Hawley, S. H., Chatziioannou, V., and Morrison, A. (2020). Synthesis of musical instrument sounds: physics-based modeling or machine learning?
Acoustics Today, 16(1), 20-28. https://doi.org/10.1121/AT.2020.16.1.20. Jagla, J., Maillard, J., and Martin, N. (2012). Sample-based engine noise synthesis using an enhanced pitch-synchronous overlap-and-add method.
The Journal of the Acoustical Society of America 132(5), 3098-3108. Jensen, F. B., Kuperman, W. A., Porter, M. B., and Schmidt, H. (2011). Com-
putational Ocean Acoustics, 2nd ed. Springer-Verlag, New York, NY. Kolar, M. A., (2018). Archaeoacoustics: Re-sounding material culture.
Acoustics Today 14(4), 28-37.
Landau, R. H., and Paez, M. J. (1997). Computational Physics: Problem
Solving with Computers. John Wiley & Sons Inc., New York, NY. Puria, S. (2020). Middle ear biomechanics: Smooth sailing. Acoustics
Today 16(3), 27-35. https://doi.org/10.1121/AT.2020.16.3.27. Savioja, L., and Xiang, N. (2020). Simulation-based auralization of room acous-
tics. Acoustics Today 16(4), 48-56. https://doi.org/10.1121/AT.2020.16.4.48. Schroeder, M. R. (1961). Novel uses of digital computers in room acoustics. The Journal of the Acoustical Society of America 33, 1669.
https://doi.org/10.1121/1.1936681.
Stone, M., and Shadle, C. H. (2016). A history of speech production
research. Acoustics Today 12(4), 48-55.
Treeby, B. E. (2019). From biology to bytes: Predicting the path of ultra-
sound waves through the human body. Acoustics Today 15(2), 36-44.
https://doi.org/10.1121/AT.2019.15.2.36.
Vorländer, M. (2013). Computer simulations in room acoustics: Concepts and
uncertainties.TheJournaloftheAcousticalSocietyofAmerica133,1203-1213. Vorländer, M. (2020). Are virtual sounds real? Acoustics Today 16(1),
46-54. https://doi.org/10.1121/AT.2020.16.1.46.
Wage, K. E. (2018). When two wrongs make a right: combining aliased
arrays to find sound sources. Acoustics Today 14(3), 48-56.
Wang, H., Sihar, I., Munoz, Raul P., and Hornikx, M. (2019). Room acoustics modeling in the time-domain with the nodal discontinuous Galerkin method.
The Journal of the Acoustical Society of America 145(4), 2650-2663,
Wilson, D. K., Pettit, C. L., and Ostashev, V. E. (2015). Sound propagation
in the atmospheric boundary layer. Acoustics Today 11(2), 44-53. Zurk, L. (2018). Physics-based signal processing approaches for
underwater acoustic sensing. Acoustics Today 14(3), 57-61.
          About the Author
 Grant C. Eastland
Grant.Eastland@navy.mil
Naval Undersea Warfare Center Division, Keyport
610 Dowell Street
Keyport, Washington 98345, USA
Grant C. Eastland received his PhD in physics from Washington State University (Pullman) in 2012 under the direction of Philip L. Marston, studying scattering boundary effects in acoustic imaging. He did postdoctoral research at the NOAA Northwest Fisheries Science Center in Seattle from 2012 to 2015, working on acoustic target calibration techniques. Currently, he is a physicist in test and
evaluation at the Naval Undersea Warfare Center Division, Key- port (WA). His primary fields of interest are ocean acoustic propagation, scattering, and acoustic imaging. His research can be considered phenomenological, including theoretical, computational acoustic modeling, and empirical investigations.
     rial—part 2: Sound—structure interaction. Acoustics Today 3(2), 9-27.
Spring 2021 • Acoustics Today 17










































   15   16   17   18   19